{
 "cells": [
  {
   "cell_type": "raw",
   "id": "53fbf15f",
   "metadata": {},
   "source": [
    "---\n",
    "sidebar_label: Cohere\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf733a38-db84-4363-89e2-de6735c37230",
   "metadata": {},
   "source": [
    "# ChatCohere\n",
    "\n",
    "This notebook covers how to get started with Cohere chat models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "d4a7c55d-b235-4ca4-a579-c90cc9570da9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from langchain.chat_models import ChatCohere\n",
    "from langchain.schema import HumanMessage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "70cf04e8-423a-4ff6-8b09-f11fb711c817",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "chat = ChatCohere()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "8199ef8f-eb8b-4253-9ea0-6c24a013ca4c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AIMessage(content=\"Who's there?\")"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "messages = [HumanMessage(content=\"knock knock\")]\n",
    "chat(messages)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c361ab1e-8c0c-4206-9e3c-9d1424a12b9c",
   "metadata": {},
   "source": [
    "## `ChatCohere` also supports async and streaming functionality:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "93a21c5c-6ef9-4688-be60-b2e1f94842fb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from langchain.callbacks.manager import CallbackManager\n",
    "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "c5fac0e9-05a4-4fc1-a3b3-e5bbb24b971b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Who's there?"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LLMResult(generations=[[ChatGenerationChunk(text=\"Who's there?\", message=AIMessageChunk(content=\"Who's there?\"))]], llm_output={}, run=[RunInfo(run_id=UUID('1e9eaefc-9c99-4fa9-8297-ef9975d4751e'))])"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "await chat.agenerate([messages])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "025be980-e50d-4a68-93dc-c9c7b500ce34",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Who's there?"
     ]
    },
    {
     "data": {
      "text/plain": [
       "AIMessageChunk(content=\"Who's there?\")"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat = ChatCohere(\n",
    "    streaming=True,\n",
    "    verbose=True,\n",
    "    callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]),\n",
    ")\n",
    "chat(messages)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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